Marketing Mix Modelling used to cost $200K+ and take months. Open Model puts the same Bayesian rigour — powered by Google Meridian & Meta Robyn — in your hands in minutes.
2 free beta spots remaining · Founding member pricing locked at signup
The biggest brands in the world have used Marketing Mix Modelling for decades to understand exactly what's driving revenue. Everyone else has been locked out — until now.
No data science team required. No six-figure retainer. Just your media data and a browser.
Drop in your weekly media spend CSV — TV, Paid Search, Social, Display, whatever channels you run. Our automated quality engine scores your dataset across 5 dimensions before any model runs.
Choose your engine — Google Meridian or Meta Robyn. Open Model handles priors, MCMC sampling, convergence diagnostics, and adstock decay. You just press run.
Get channel ROI, marginal ROI, budget optimisation recommendations, and geo-holdout incremental testing — all in a live dashboard you can share with your team.
5-dimension quality engine scores your dataset 0–100 across completeness, multicollinearity, variance, anomalies, and provenance — before a single model parameter is touched.
Google Meridian (Bayesian, NUTS MCMC) and Meta Robyn (Ridge Regression) — automatically selected based on your data quality score, or override manually.
Channel revenue decomposition, total vs marginal ROI, response curves, and budget optimisation recommendations. Real-time, not a quarterly PDF.
Design and analyse geo lift experiments to validate your MMM predictions with real-world causal lift. Close the loop between model and reality.
Leading Bayesian MMM platforms start at $2,900/month. Traditional agency MMM engagements run $4,000+/month effective cost. Lock in founding member pricing now — permanent, for life.
Register for early access below. We'll confirm your spot and onboarding date within 48 hours.
We'll be in touch within 48 hours with your onboarding details and confirmed pricing. Keep an eye on your inbox — we don't send much, but when we do it counts.